Ryan Place
Impact in
- Cognitive Neuroscience top 5%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Sleep and Wakefulness Research
- Memory Processes and Influences
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
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- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neuropharmacology Research 7
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- Memory and Neural Mechanisms 7
- Neural dynamics and brain function 3
- Memory Processes and Influences 1
- Sleep and Wakefulness Research 1
- Co-authors
- Howard Eichenbaum (6 shared papers)Anja Farovik (4 shared papers)Christopher J. MacDonald (1 shared paper)Marco D. Brockmann (1 shared paper)Sam McKenzie (2 shared papers)Michael J. Starrett (1 shared paper)Elizabeth R. Chrastil (1 shared paper)Andrew S. Alexander (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Nature Neuroscience (2 papers)Learning & Memory (1 paper)Neurobiology of Learning and Memory (1 paper)Neuron (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Ryan Place
8 papers receiving 581 citations
Peers
Comparison fields: 5 of 61
- Cognitive Neuroscience 509
- Cellular and Molecular Neuroscience 319
- Behavioral Neuroscience 36
- Sensory Systems 31
- Neurology 48
Countries citing papers authored by Ryan Place
This map shows the geographic impact of Ryan Place's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ryan Place with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Place more than expected).
Fields of papers citing papers by Ryan Place
This network shows the impact of papers produced by Ryan Place. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ryan Place. The network helps show where Ryan Place may publish in the future.
Co-authors
The 22 scholars most cited alongside Ryan Place, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 194 | |
| 2 | 2016 | 142 | |
| 3 | 2015 | 67 | |
| 4 | 2022 | 60 | |
| 5 | 2012 | 35 | |
| 6 | 2011 | 35 | |
| 7 | 2015 | 31 | |
| 8 | 2019 | 24 |
About Ryan Place
Ryan Place is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Behavioral Neuroscience and Artificial Intelligence, having authored 8 papers that have together received 588 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (3 papers), Memory Processes and Influences (1 paper), Digital Imaging for Blood Diseases (1 paper), Sleep and Wakefulness Research (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Cognitive Neuroscience (509 citations), Cellular and Molecular Neuroscience (319 citations), Behavioral Neuroscience (36 citations), Sensory Systems (31 citations) and Neurology (48 citations). Ryan Place has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Howard Eichenbaum, Anja Farovik, Christopher J. MacDonald, Marco D. Brockmann, Sam McKenzie, Michael J. Starrett, Elizabeth R. Chrastil, Andrew S. Alexander, Douglas A. Nitz and Catherine E. Munro. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience, Learning & Memory, Neurobiology of Learning and Memory and Neuron.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.